Evidence map›Paper›PMID 28575348›Full record

ArticleHealth & social work2017

Preliminary Development of an Informational Media Use Measure for Patients with Implanted Defibrillators: Toward a Model of Social-Ecological Assessment of Patient Education and Support.

Christopher E Knoepke, Daniel D Matlock

Abstract read
In one paragraph

Article in Health & social work, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Christopher E KnoepkeSchool of Medicine, University of Colorado, 13199 E. Montview Boulevard, Rm 210-17, Aurora, CO 80045.
Daniel D MatlockSchool of Medicine, University of Colorado, 13199 E. Montview Boulevard, Rm 210-17, Aurora, CO 80045.

Funding

Implanted Defibrillators and Older Adults: A Model of Decisions and TechnologiesK23AG040696 · NIA · UNIVERSITY OF COLORADO DENVER · PI MATLOCK, DANIEL D · 2011 to 2015
$716k
NIA NIH HHS K23 AG040696
6 · The paper itself

Abstract

Social work interventions in health care, particularly those that involve working with people being treated for chronic and life-threatening conditions, frequently involve efforts to educate patients about their disease, treatment options, safety planning, medical adherence, and other associated issues. Despite an intuitive notion that patients access information about all of these issues through a variety of media-both inside and outside the clinical encounter, created by professionals and by others-there currently exists no validated means of assessing patients' use of these forms of information. To address this gap, authors first created candidate item measures with input from both physicians and a small group of diverse patients who currently have an implantable cardioverter defibrillator (ICD), a sophisticated cardiac device for which a trajectory model of social work intervention was recently outlined. Authors then surveyed a group of 205 individuals who have these devices, assessing their use of various media to learn about ICDs. They then conducted factor and item analysis to refine and remove poorly performing items while delineating forms of media use by type. The resultant preliminary measure of informational media use can be further refined and adapted for use with any clinical population.

Indexed as

Defibrillators, ImplantablePatient Education as TopicSocial WorkHumansSurveys and Questionnairescardiovascular careimplantable cardioverter defibrillatormeasure developmentpatient education

Identifiers

PMID28575348
PMCPMC6251581

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.